It's fun to work in a company where people truly BELIEVE in what they're doing!
Job Description
Our data science team is responsible for solving complex problems and optimizing various aspects of Traveloka’s business. You will get a wide range of exciting opportunities to bring impact by helping to make decisions at scale across our various business lines, and get to work with the brightest minds in the industry. Join us in revolutionizing the travel industry through data!
Key Responsibilities:
Collaborate with multiple product domains to understand their challenges and goals in ranking and recommendation systems
Translate customer needs and business goals into technical requirements and ML services
Develop, implement, and maintain data-driven solutions and systems
Oversee and manage multiple data science projects, ensuring they meet objectives and are delivered on time
Requirements
Bachelor’s degree in Computer Science, Data Science, Statistics, or related fields. Master's degree or higher preferred
7 or more years of experience in data science or related roles
Excellent understanding of business operations and the ability to translate business requirements into technical specifications.
Experience/familiarity with some of the following:
Recommendation algorithms (collaborative filtering, content-based filtering, deep learning for recommendations)
Ranking algorithms and metrics
Experimentation
Strong expertise in Python and experience with ML/Stats libraries (scikit-learn, LGBM, XGBoost to name a few).
Proficient in data manipulation and analysis using SQL.
Experience with cloud-based tech stack and containerization. GCP will be preferred.
Proven experience in managing data projects from inception to completion.
Exceptional interpersonal and communication skills, including the ability to describe complex technical concepts to non-technical stakeholders.
Proactive, self-motivated, and able to work independently.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
